Localizing vehicle navigation using lane measurements

Patent metadata

Field	Value
Publication number	US-2018024562-A1
Application number	US-201715656561-A
Country	US
Kind code	A1
Filing date	Jul 21, 2017
Priority date	Jul 21, 2016
Publication date	Jan 25, 2018
Grant date	—

Abstract

Systems and methods are provided for vehicle localization using lane measurements. In one implementation, a method of correcting a position of a vehicle navigating a road segment may include determining, based on an output of at least one navigational sensor, a measured position of the vehicle along a predetermined road model trajectory; receiving at least one image representative of an environment of the vehicle, analyzing the at least one image to identify at least one lane marking, determining, based on the at least one image, a distance from the vehicle to the at least one lane marking, determining an estimated offset of the vehicle from the predetermined road model trajectory based on the measured position of the vehicle and the determined distance, and determining an autonomous steering action for the vehicle based on the estimated offset to correct the position of the vehicle.

First claim

What is claimed is:

1 . A system for correcting a position of a vehicle navigating a road segment, the system comprising:
at least one processing device configured to: determine, based on an output of at least one navigational sensor, a measured position of the vehicle along a predetermined road model trajectory, wherein the predetermined road model trajectory is associated with the road segment; receive, from an image capture device, at least one image representative of an environment of the vehicle; analyze the at least one image to identify at least one lane marking, wherein the at least one lane marking is associated with a lane of travel along the road segment; determine, based on the at least one image, a distance from the vehicle to the at least one lane marking; determine an estimated offset of the vehicle from the predetermined road model trajectory based on the measured position of the vehicle and the determined distance; and determine an autonomous steering action for the vehicle based on the estimated offset to correct the position of the vehicle.

2 . The system of claim 1 , wherein the predetermined road model trajectory includes a three-dimensional polynomial representation of a target trajectory along the road segment.

3 . The system of claim 1 , wherein the at least one processing device is further configured to adjust a steering system of the vehicle based on the autonomous steering action.

4 . The system of claim 1 , wherein determining the estimated offset further includes determining, based on the distance to the at least one lane marking, whether the vehicle is on a trajectory that will intersect the at least one lane marking.

5 . The system of claim 1 , wherein determining the estimated offset further includes determining, based on the distance to the at least one lane marking, whether the vehicle is within a predetermined threshold of the at least one lane marking.

6 . The system of claim 1 , wherein the at least one navigational sensor includes a speed sensor or an accelerometer.

7 . The system of claim 1 , wherein determining the autonomous steering action for the vehicle further includes solving for at least one derivative of the predetermined road model trajectory.

8 . A method for correcting a position of a vehicle navigating a road segment, the method comprising:
determining, based on an output of at least one navigational sensor, a measured position of the vehicle along a predetermined road model trajectory, wherein the predetermined road model trajectory is associated with the road segment; receiving, from an image capture device, at least one image representative of an environment of the vehicle; analyzing the at least one image to identify at least one lane marking, wherein the at least one lane marking is associated with a lane of travel along the road segment; determining, based on the at least one image, a distance from the vehicle to the at least one lane marking; determining an estimated offset of the vehicle from the predetermined road model trajectory based on the measured position of the vehicle and the determined distance; and determining an autonomous steering action for the vehicle based on the estimated offset to correct the position of the vehicle.

9 . The method of claim 8 , further comprising adjusting a steering system of the vehicle based on the autonomous steering action.

10 . The method of claim 8 , wherein determining the estimated offset further includes determining, based on the distance to the at least one lane marking, whether the vehicle is on a trajectory that will intersect the at least one lane marking.

11 . The method of claim 8 , wherein determining the estimated offset further includes determining, based on the distance to the at least one lane marking, whether the vehicle is within a predetermined threshold of the at least one lane marking.

12 . The method of claim 8 , wherein determining the autonomous steering action for the vehicle further includes solving for at least one derivative of the predetermined road model trajectory.

13 . A non-transitory, computer-readable medium storing instructions that, when executed by at least one processing device, cause the device to:
determine, based on an output of at least one navigational sensor, a measured position of the vehicle along a predetermined road model trajectory, wherein the predetermined road model trajectory is associated with the road segment; receive, from an image capture device, at least one image representative of an environment of the vehicle; analyze the at least one image to identify at least one lane marking, wherein the at least one lane marking is associated with a lane of travel along the road segment; determine, based on the at least one image, a distance from the vehicle to the at least one lane marking; determine an estimated offset of the vehicle from the predetermined road model trajectory based on the measured position of the vehicle and the determined distance; and determine an autonomous steering action for the vehicle based on the estimated offset to correct the position of the vehicle.

14 . The non-transitory, computer-readable medium of claim 13 , wherein the predetermined road model trajectory includes a three-dimensional polynomial representation of a target trajectory along the road segment.

15 . The non-transitory, computer-readable medium of claim 13 , further storing instructions to adjust a steering system of the vehicle based on the autonomous steering action.

16 . The non-transitory, computer-readable medium of claim 13 , wherein the instructions to determine the estimated offset further include instructions to determine, based on the distance to the at least one lane marking, whether the vehicle is on a trajectory that will intersect the at least one lane marking.

17 . The non-transitory, computer-readable medium of claim 13 , wherein the instructions to determine the estimated offset further include instructions to determine, based on the distance to the at least one lane marking, whether the vehicle is within a predetermined threshold of the at least one lane marking.

18 . The non-transitory, computer-readable medium of claim 13 , wherein the instructions to determine the autonomous steering action for the vehicle further include instructions to solve for at least one derivative of the predetermined road model trajectory.

Assignees

• Mobileye Vision Technologies Ltd

Inventors

• Bellaiche Levi Itzhak

Classifications

• B60W2720/10

  Longitudinal speed · CPC title

• G01S13/931

  of land vehicles · CPC title

• B60R2011/0026

  Windows, e.g. windscreen · CPC title

• G01C21/3658

  Lane guidance · CPC title

• G06T2200/08

  involving all processing steps from image acquisition to 3D model generation · CPC title